AWS Data Engineer

About the role

We are looking for a skilled AWS Data Engineer to design, build, and maintain cloud‑native data platforms on Amazon Web Services. You will work on scalable ETL/ELT pipelines, integrate multiple data sources, and support enterprise‑wide analytics environments.

Key responsibilities

• Design and implement cloud‑native data architectures on AWS.
• Develop, test, and maintain robust ETL/ELT pipelines.
• Integrate APIs and databases into unified data platforms.
• Orchestrate workflows using tools such as Airflow.
• Ensure data reliability, security, performance, and quality.
• Automate deployment and monitoring with CI/CD practices.

Required profile

• 2–5 years of hands‑on experience building and supporting AWS‑based data platforms.
• Experience delivering production‑grade data pipelines.
• Preferred AWS certifications (Data Engineer – Associate, Solutions Architect – Associate, Developer – Associate).
• Ability to work collaboratively in Agile teams.

Required skills

• AWS services: S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, IAM, CloudWatch, EventBridge.
• Data tools: Apache Spark, Apache Airflow, Snowflake, Databricks.
• Version control: Git, GitHub.
• Programming: Python, SQL, REST APIs.
• DevOps basics: CI/CD concepts, Docker, infrastructure automation.